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- W4313561446 endingPage "106517" @default.
- W4313561446 startingPage "106517" @default.
- W4313561446 abstract "The growing and aging of the world population have driven the shortage of medical resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid development of robotics and artificial intelligence technologies help to adapt to the challenges in the healthcare field. Among them, intelligent speech technology (IST) has served doctors and patients to improve the efficiency of medical behavior and alleviate the medical burden. However, problems like noise interference in complex medical scenarios and pronunciation differences between patients and healthy people hamper the broad application of IST in hospitals. In recent years, technologies such as machine learning have developed rapidly in intelligent speech recognition, which is expected to solve these problems. This paper first introduces IST's procedure and system architecture and analyzes its application in medical scenarios. Secondly, we review existing IST applications in smart hospitals in detail, including electronic medical documentation, disease diagnosis and evaluation, and human-medical equipment interaction. In addition, we elaborate on an application case of IST in the early recognition, diagnosis, rehabilitation training, evaluation, and daily care of stroke patients. Finally, we discuss IST's limitations, challenges, and future directions in the medical field. Furthermore, we propose a novel medical voice analysis system architecture that employs active hardware, active software, and human-computer interaction to realize intelligent and evolvable speech recognition. This comprehensive review and the proposed architecture offer directions for future studies on IST and its applications in smart hospitals." @default.
- W4313561446 created "2023-01-06" @default.
- W4313561446 creator A5022526821 @default.
- W4313561446 creator A5048327458 @default.
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- W4313561446 creator A5075283465 @default.
- W4313561446 creator A5075884132 @default.
- W4313561446 creator A5078691114 @default.
- W4313561446 creator A5089215866 @default.
- W4313561446 date "2023-02-01" @default.
- W4313561446 modified "2023-10-18" @default.
- W4313561446 title "Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review" @default.
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